ML Engineer
Raindrop
Raindrop Monitoring Platform Raindrop is the monitoring platform for AI agents. Engineering teams at Fortune 100s and the fastest-growing AI companies use it to catch silent failures in production. When an agent misbehaves, Raindrop alerts the team, links to the trace, and surfaces the root cause so they can fix it fast. With Raindrop 2.0 (Self-Healing Agents), the loop closes itself: your coding agent fixes it, and the fix becomes an eval to prevent regressions. Why It Matters AI agents fail constantly in ways both hilarious and terrifying. Regular software throws exceptions. But AI agents fail silently, leaving engineers with almost no visibility into how their agents are actually performing. The current status quo is sifting through millions of logs and trying to debug flaky evals that just aren't matching real world results. Evals are like unit tests, they confirm your model got specific test cases right. But in the real world agents call thousands of tools, run for hours, and encounter millions of unpredictable actions. That's where Raindrop comes in. It learns the unique shape of each AI agent's issues. Starting from presets like Laziness, Forgetting, or Task Failure, to automatically tuning itself to each agent and discovering unknown unknowns. With one click of a button, AI engineers start tracking issues or topics across 100% of their production data. They can see frequency over time, how many users are affected, relevant properties and more. In order to process hundreds of millions of events, we gradually train small, custom models, private to each company, that learn to uniquely understand how their product is used. As part of the early team, you'll play a fundamental role in shaping the company - from making strategy and product decisions, to helping scale the team, to shaping the future of AI agents. Our Investors We're backed by incredible investors including Lightspeed and leading AI companies including Figma Ventures, Vercel Ventures, founders of Replit (Amjad Masad and Michele Castata), Cognition (Walden Yan), Framer (Koen Bok and Jorn van Dijk), Speak (Andrew Hsu), Notion (Akshay Kothari) and more. Your Focus Build out a world-class product - servicing millions of requests a day + growing. Architect, implement, and scale ML pipelines Quick iteration without compromising on quality Deeply understand the customer Ideal Candidate Knows how to balance short-term and long-term speed Proven experience scaling applications Interest in AI products + tools (ideally experience building these or an avid user) Growth mindset Cares about building well-designed products Willing to do whatever it takes to solve a problem Must be in person in San Francisco (or willing to move) Raindrop
- ...leave a clean trail of tests and dashboards behind. Required Qualifications: Expert-level PyTorch. Proven software engineer who loves ML; comfortable writing production code across the stack. Hands-on experience training or fine-tuning large language or other...SuggestedFull timeContract workFlexible hoursShift work
Sesame, L.l.c.
San Francisco, CA15 hours ago - ...with technology, giving them more time to focus on what matters most: their patients. Position Overview We are hiring two ML Engineers / Researchers to help build the next generation of Knowtex's AI stack. We are looking for researchers with deep expertise in...SuggestedFull time
Knowtex
San Francisco, CA15 hours ago - ...governance, maintain auditability, and deliver reliable outcomes at scale. About the Role We are looking for a visionary Senior ML Engineer who will bridge the gap between high-level architecture and hands-on execution, specifically focusing on simplifying enterprise...SuggestedFull timeShift work
Palm Venture Studios
San Francisco, CA15 hours ago $170k - $280k
...that builds software. Our mission is to give leaders clarity and engineers time. We help leaders understand how their products and... ...Adverb. About the role We're looking for an Applied ML Engineer to help build and improve the machine learning systems...SuggestedOdd jobFull timeMacroscope Inc
San Francisco, CA15 hours ago$190k - $205k
...acoustic, magnetic, vibration, electrical, and visual signals Production Engineering Write clean, scalable, well-tested Python code that integrates into a large shared codebase. Build end-to-end ML pipelines including data processing, feature extraction, training,...SuggestedFull timeLive inGridware
San Francisco, CA15 hours ago- ...transformers and spatial models run efficiently on both cloud and edge compute resources. Learn more at About the Role As an ML / DevOps Engineer, you will play a pivotal role in advancing our infrastructure, scaling enterprise deployment workflows, and refining...Work at office
Zensors
San Francisco, CA25 days ago - ...pretraining science. We build foundational understanding of models to advance the frontier of intelligence. About the role: As a ML Engineer, you'll build and operate the infrastructure that makes cutting‑edge machine learning research possible. At Tilde, we believe...
- Machine Learning Engineer - Perception Models At Mach9, ML Engineers build the perception models at the core of our AI‑enabled CAD system. We develop and train cutting‑edge 3D scene‑understanding models that extract objects and line features from dense LiDAR point clouds...
- Job Description We are currently looking for an exceptional engineer to work in the position of Machine Learning Engineer on the Personalization team. The Personalization team at Boomtrain are responsible for designing and building the models and systems that provide...
- ...& Responsibilities Design, build, and deploy production‑grade ML systems with end‑to‑end ownership of the model lifecycle from conception... ...a related field. 1-6 years of professional experience in ML engineering. Strong programming skills in Python (TypeScript experience is...Full time
- ...enterprise customers. How we think → The team is still small enough that every person shapes what gets built. About the Role As a ML engineer at Wispr, you'll play a crucial role in building the first capable, habit forming voice interface that scales to a billion users....H1bWork at officeRemote workRelocationVisa sponsorshipFlexible hours
- ...We’re a team of AI researchers, designers, growth experts, and engineers rethinking human-computer interaction from the ground up. We value... ...1 VC firms and other well-known angels. About the Role As a ML engineer at Wispr, you’ll play a crucial role in building the first...
- ...intentional. What to expect This role is for a machine learning engineer who wants to work on the models that give LeLamp its... ...pipelines for training and deploying machine learning models Integrate ML systems with robotic hardware and embedded systems Improve robot...Immediate start
- Machine Learning Engineer, Applied AI As a Machine Learning Engineer you'll join our Product Innovations team and work across the full applied ML stack - deploying models, building the evaluation systems that tell us whether they actually work, and making the data and...Work at officeWork from homeHome office
$250k - $400k
...possible. This is not research in isolation. It's building the engine that research runs on. You'll work closely with the wider team,... ...systems What they're looking for Experience building and scaling ML systems in production Strong background across model training, data...Remote work$198k - $230k
...combines both in‑person and remote work to boost collaboration, enhance innovation, and adapt to individual work styles. Senior MLOps Engineer (Applied AI Focus) As a Senior MLOps Engineer on our Product Innovations team, you will serve as the technical lead for Applied...Work at officeRemote workWork from homeWorldwideHome officeFlexible hours$140.8k - $176k
...the opportunity to thrive. We are hiring a Machine Learning Engineer to join our ETA team. Our team builds and maintains Lyft's system... ...data analysis and build proof-of-concept to explore and compare ML and non-ML solutions Be able to make effective tradeoffs between...Hourly payFull timeWork experience placementWork at officeLocal area3 days per weekLyft
San Francisco, CA15 hours ago$162.8k - $203.5k
...compete with companies that have been in the mapping business for decades. To strengthen our efforts, we are hiring a Senior ML Engineer who will work end-to-end on creating and improving new capabilities to detect changes in the environment and reflect them in our...Hourly payFull timeWork experience placementWork at officeLocal area3 days per weekLyft
San Francisco, CA15 hours ago$500 per month
...build laser weapons to shoot down drones. We're a small team of engineers, former US military operators, and subject matter experts... ...across detection, tracking, classification, and sensor fusion ML model development, training pipelines, and on-device deployment...Permanent employmentWork at officeMonday to FridayFlexible hoursNight shiftWeekend workAurelius Systems
San Francisco, CA18 days ago- ...About the company We’re a team of engineers, neuroscientists, and designers solving the most difficult and meaningful challenge: understanding... ...self-taught researchers also considered) ~3+ years of applied ML research or development experience, or equivalent depth through...Full time
Orbit Neuro Co.
San Francisco, CA15 hours ago $213k - $263k
...ultimate data challenge: How do you mathematically prove that a virtual world is "real"? We are seeking visionary machine learning engineers and researchers to architect the scalable deep learning systems, novel data workflows, and eval tools that power our research...Full timeRemote workWaymo
San Francisco, CA15 hours ago- ...institutional capital at Capital Group ($3T AUM) and led enterprise ML at Goldman Sachs and Amazon. We're building a new type of firm,... ...management. We're looking for an exceptional Machine Learning Engineer to help build the systems that make this possible. In this role,...Full timeWork at officeVisa sponsorshipWork visaRelocation package3 days per week
Poesis Inc
San Francisco, CA15 hours ago - ...more, with a distributed team across San Francisco, Seoul, Tokyo, Taipei, and Ljubljana. About this role We’re hiring an ML Engineer, Assessments to help build best-in-class assessment systems across multiple products (Speak for Business, B2C, and new surfaces)...Full timeLive inImmediate start
Speak
San Francisco, CA15 hours ago $210k - $240k
...Machine Learning Engineer You'll build the ML behind Firecrawl — the models and the systems that serve them. That starts with search: training and shipping the ranking and relevance models for one of our fastest-growing products, then extending that work across extraction...Full timeTemporary workFor contractorsRemote workVisa sponsorshipFlexible hoursFirecrawl
San Francisco, CA15 hours ago$150k - $200k
...learning, and associated frameworks (PyTorch, TensorFlow, Ray, etc.) ● 3+ years of proven track record developing and deploying ML systems from research through production implementation ● Hands-on experience with model lifecycle management including training, deployment...Full timeDeft Ai, Inc.
San Francisco, CA15 hours ago- ...employees directly on our Glassdoor page! Machine Learning Engineer @ Clay Clay's ambition is to build a self-learning revenue... ...that gets smarter every time someone uses it. This means data, ML, and AI are at the heart of everything we are building. We're looking...Full time
Clay Labs
San Francisco, CA15 hours ago $250k - $295k
...current delivery mechanism. The real product is a scalable risk engine, our Stand World Model . We stay when traditional insurers exit... ...judgments against real business outcomes Build on and extend scalable ML infrastructure Partner with Stand’s Platform team on the model...Full timeTemporary workH1bWork at officeRemote workVisa sponsorshipWork visaFlexible hoursStand Insurance
San Francisco, CA15 hours ago$225k - $300k
...Machine Learning Engineer About Latent Health Healthcare today is only truly personalized for two groups: those with wealth and... ...disease. Each patient record contains extraordinary depth. ML at Latent Health The Machine Learning team is responsible for...Full timeWork at officeImmediate startLatent
San Francisco, CA15 hours ago- ...like ICLR, ICML, AAAI. Role Description As a Machine Learning Engineer at Advex, you will play a pivotal role in shaping the company's technical direction. As an MLE you are well versed with the ML life-cycle process, collect data, label data, train model and...Full time
Openreq
San Francisco, CA15 hours ago $150k - $200k
...professional learning. You will work closely with other departments, including Product, Engineering, Machine Learning and Analytics, to understand and cater to their data and ML needs. You will also define and document data workflows, data and ML pipelines, and...Permanent employmentFull timeWork at officeLocal areaRemote workKiddom
San Francisco, CA15 hours ago
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